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This semi-active control technique has been studied deeply and applied widely in the fields of mechanical engineering and civil engineering in recent years [4-6], but the available MRDs in these fields are inapplicable to the field of protective engineering.
[3] Yixin Du, Jingbo Liu and Libin Wang, in: Engineering Mechanics, 2008, 25(1): 167-173 (In Chinese)
Jung, et al, in: Earthquake Engineering and Structural Dynamics, 2004, (33): 723-736
Ko, in: Computer-Aided Civil and Infrastructure Engineering, 2005, (20): 431-449
[7] Qiang Zhou, Weilian Qu, in: Earthquake Engineering and Engineering Vibration, 2002, 22 (4): 144-150 (In Chinese)

Experimental Study of Concrete Class Influence on Cracks spacing ZORKANE Omar1,a, CHALAH Farid1,b, CHALAH-REZGUI Lila1,c, BALI Abderrahim2,d and OUDJIT Mohamed Nadjib1,e 1Usthb, Faculty of Civil Engineering, Algiers16111, Algeria. 2Construction & Environment Laboratory, Polytechnic National School of Algiers, Algeria.
Thus, the phenomenon of cracks formation can be treated as a normal state only when their openings are limited to avoid a permanent risk of collapse and ensure durability for the civil engineering concrete structures.
These tests were conducted in the laboratory of the department of civil engineering structures of the National Polytechnic School at Algiers.
Ferry Borges, Cracking and deformability of reinforced concrete beams, International Association for Bridge and Structural Engineering, Thesis, Volume 26,1966

Numerical simulation study on healthy monitoring of the framework based on aseismatic behavior Yang Xiaoming1,a ,Wang Junyi2,b 1Inner Mongolia University of Technology Department of Civil Engineering Construction, China 2Inner Mongolia University of Technology Department of Civil Engineering Construction, China ayxm77@163.com, bwjy2phy1314@126.com Keywords: Earthquake Effect, Frame Structure, Modal Analysis, Neural Networks, Damage Identification Abstract: Considering back and forth and the complexity of earthquake loading, according to theoretical analysis, this paper is verified theoretically that the natural frequency changes of structure contain the information such as location and degree of the damage in earthquake, based on this theory, applying the large common software – ANSYS, and an experiment to simulate the damage of a six-storey-high frame structure is used, extracting the natural frequency changes and forming the input vectors of the neural network, the structural
damage is detected by the neural network trained, the result showed the effectiveness of this method in the engineering.
Half a century, in order to reduce the enormous losses of life and property caused by earthquake, countries have been conducting various research on earthquake resistance of engineering structure, post-earthquake damage identification has drawn wide attention of both domestic and foreign scholars.

MacRae2,c and Hsen-Han Khoo3,d 1Department of Civil and Environmental Engineering, University of Auckland, Engineering Building, 20 Symonds Street, Auckland, New Zealand 2School of Civil and Environmental Engineering, The University of Canterbury, Christchurch, New Zealand 3Mitchell Vranjes Consulting Engineers (MV Engineers), Auckland, New Zealand as.ramhormozian@auckland.ac.nz, bc.clifton@auckland.ac.nz, cgregory.macrae@canterbury.ac.nz, dhsenhan@mvengineers.com * Corresponding Author Keywords: Sliding hinge joint, Asymmetric friction connection, Earthquake, Low damage, Friction damper.
The authors would also like to acknowledge the efforts and help of the technical and laboratory staff as well as BSc and MSc students at the Department of Civil and Environmental Engineering, the University of Auckland involved in this research in conducting experimental testing.
Earthquake Engineering & Structural Dynamics, 2014
Journal of Structural Engineering, 2015. 0(0): p. 04015078
Journal of Structural Engineering, 2008. 134(11): p. 1768-1779

This is the third of ICMCEI conference; we aim at providing a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in Mechanical, Control, and Electronic Information.
This book covers these topics Materials Science and Processing; General Mechanical Engineering and Applied Mechanics; Control Systems and Robotics; Electrical Engineering and Apparatus; Power System and Energy Engineering; Civil, Construction and Geology Research; Electronics and Integrated Circuits, Embedded Technology; Analysis, Testing and Monitoring; Signal, Image Processing and Computational Mathematics; Communication, Networks and Information Technologies; Traffic and Transportation; Product Design and Industrial Engineering.
Kuang-Chao Fan, National Taiwan University Taiwan Committees Conference Chairs Wu-Shiung Feng Department of Electrical Engineering, Chang Gung University Program Committee Chairs Chun-Jung Chen Department of Computer Science, Chinese Culture University Technical Program Committees Kuang-Chao Fan, National Taiwan University Yung-Fa Huang Department of Information and Communication Engineering, Chaoyang University of Technology Jeng-Kuang Hwang Department of Communication Engineering, Yuan Ze University Shi-Jim Yen Department of Computer Science and Information Engineering, National Dong Hwa university Jung-Lang Yu Department of Electrical Engineering, Fu Jen Catholic University Lih-Ren Hwang Department of Information and Communication Engineering, Chaoyang University of Technology Te-ho Wu National Yunlin University of Science and Technology Jong-Ching Wu National Changhua University
of Education Hsiung Chou National Sun Yat-sen University Ko-Wei Lin National Chung Hsing University Grace Lin National Taiwan University Dean Zhao, Jiangsu University Jiang Han Hefei University of Technology Ming-piao Tsai National Formosa University Tieli Sun Northeast Normal University Shihong Shi Soochow University Xiaogang Wu Harbin University of Science and Technology University Science and Technology Lee-Min Lee Department of Electrical Engineering, Dayeh University Tai-Ning Yang Department of Computer Science, Chinese Culture University Sponsors Chinese Culture University, Taiwan

A study on the effect slope walking has on vertical pedestrian loading in terms of footbridge design Brian Mullarney1, a, Paul Archbold1,b 1 Department of Civil, Construction and Mineral Engineering, Athlone Institute of Technology Athlone, Co.
Department of Civil, Construction and Mineral Engineering; Athlone Institute of Technology (AIT); Athlone, Ireland
Wheeler, Predicition and control of pedestrian induced vibration in footbridges, American Society of Civil Engineers: Journal of the Structural Division, 108 (1982) 2045-2065
Zivanovic, Probability-based estimation of vibration for pedestrian structures due to walking, PhD Thesis, in: Department of Civil & Structural Engineering, University of Sheffield, Sheffield, England, UK, 2006
Pimentel, Vibrational Performance of Pedestrian Bridges Due to Human Induced Loads, PhD Thesis, in: Department of Civil & Structural Engineering, University of Sheffield, England, UK, 1997

The Design Method of Q460 Equal Angle Steel Strut Shi-lun SHI1,a 1Construction Engineering College, Kunming University of Science and Technology, Kunming, Yunnan, 650224, China ashishilun1982@126.com Keywords: Transmission tower, Q460 equal angle steel, Column curve, Stability capacity.
Abstract: With the comprehensive development of ultra-high voltage (UHV) engineering projects in China, traditional strength of steel can not meet the demands of UHV transmission tower because of the great height, span and load.
Journal of Chongqing Architectural and Civil Engineering Institute, (1982), p.26-45
Journal of Chongqing Architectural and Civil Engineering Institute, (1985), p.24-33

Comparison and Analysis of Permafrost Railway Subgrade Settlement Deformation Monitoring Qu Lin Tan 1, a, Chou Xie 2,b 1 School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China 2 Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China aqltanbjtu@163.com, bxiechou@irsa.ac.cn Keywords: Railway subgrade; Settlement; Leveling; SAR interferometry; Deformation monitoring Abstract.
The seasonally freezing bulge and thawing subsidence are the main hazards for engineering construction in permafrost regions (Zhang Luxin,2000).
It has very important engineering significance for railway infrastructure long-term deformation monitoring (Tan Qulin, 2010).
Due to the impact of environmental ecological destruction from railway engineering, the PSs on Qinghai-Tibet railway have relatively larger deformations than the surrounding PSs.
Journal of civil engineering and architecture, 2008, Vol.2, No.1: 73~81

As a kind of high performance cement based construction materials, because of good mechanical performance and durability, PVA fiber reinforced cement based materials have been paid more and more attention in the field of civil structure engineering.
For PVA fibers have strong cohesive force with the cement based materials, they can be used in building engineering to effectively improve the crack resistance of mortar and concrete.
Li: Journal of Zhengzhou University (Engineering Science).
Cui: Engineering Quality. 26 (2008), p. 31 [12] S.G.
Guo: Journal of Jilin University (Engineering Science). 42 (2012), p. 63 [13] S.G.

Bama4,d 1Department of Mathematics, University College of Engineering,Tindivanam, Tamil Nadu, India. 2Department of Civil Engineering,University College of Engineering,Tindivanam,Tamil Nadu, India. 3Perfect builders and flat promoters, Chennai, Tamil Nadu, India. 4Sri Amma Bhagavan Construction pvt ltd, Chennai, Tamil Nadu, India.
A Fuzzy Inference System (FIS) is considered as an effective tool for solution of many complex engineering systems when ambiguity and uncertainty is associated with the systems.
Civil Engineering, University College of Engineering Tindivanam, for their support and contribution towards collecting and analyzing the water samples from the Chunnambar River, Puducherry.
Panigraphy, A Cascaded Fuzzy Inference System for Indian River water quality production, Advances in Engineering Software,42(2011) 787-796
Mendal, Fuzzy logic systems for engineering: a tutorial, IEEE Proc, 83(1995) 345-377